Verifying AI Truth: Decentralized AI & Blockchain
Year: 2025
Type: article
Abstract: The surge of AI-generated misinformation threatens the integrity of online information. This paper proposes a model employing blockchain and decentralized AI to combat this issue. We're building a system where a network of AI agents, distributed across a decentralized architecture, independently analyze content for veracity. These agents leverage machine learning to detect AI-generated manipulation, sharing their assessments on an immutable blockchain ledger. This ledger ensures transparency and prevents tampering, recording content metadata and verification results. A consensus mechanism, inherent to the blockchain, enables collective decision-making on content trustworthiness. The system incentivizes community participation through a tokenized reward structure, fostering collaborative fact-checking. By merging the strengths of blockchain's security anddecentralized AI's analytical power, this model aims to create a robust, trustworthy information ecosystem capable of fighting AI-driven misinformation.
Authors: D. Elavarasan, M. Harini, S. B. Syed Mynudeen, S. B. Syed Mynudeen
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6912100689
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